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Found 8 papers, 1 papers with code
Retrosynthesis Prediction via Search in (Hyper) Graph
As a semi-template-based method RetroSiG has several advantages.
Fine-tuning Graph Neural Networks by Preserving Graph Generative Patterns
In this paper, we identify the fundamental cause of structural divergence as the discrepancy of generative patterns between the pre-training and downstream graphs.
A Low-Complexity Range Estimation with Adjusted Affine Frequency Division Multiplexing Waveform
Affine frequency division multiplexing (AFDM) is a recently proposed communication waveform for time-varying channel scenarios.
Use neural networks to recognize students' handwritten letters and incorrect symbols
Correcting students' multiple-choice answers is a repetitive and mechanical task that can be considered an image multi-classification task.
A Phase-Coded Time-Domain Interleaved OTFS Waveform with Improved Ambiguity Function
To enhance the sensing performance of the orthogonal time frequency space (OTFS) waveform, we propose a novel time-domain interleaved cyclic-shifted P4-coded OTFS (TICP4-OTFS) with improved ambiguity function.
An Overview of Resource Allocation in Integrated Sensing and Communication
Integrated sensing and communication (ISAC) is considered as a promising solution for improving spectrum efficiency and relieving wireless spectrum congestion.
Overview and Performance Analysis of Various Waveforms in High Mobility Scenarios
In the high-mobility scenarios of next-generation wireless communication systems (beyond 5G/6G), the performance of orthogonal frequency division multiplexing (OFDM) deteriorates drastically due to the loss of orthogonality between the subcarriers caused by large Doppler frequency shifts.
Tracking Based Semi-Automatic Annotation for Scene Text Videos
Moreover, a paired low-quality scene text video dataset named Text-RBL is proposed, consisting of raw videos, blurry videos, and low-resolution videos, labeled by the proposed convenient semi-automatic labeling strategy.
